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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characteristics of traditional Chinese medicine users and prescription analysis for pediatric atopic dermatitis: a population-based study
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, June 2016
|
| DOI | 10.1186/s12906-016-1158-1 |
| Pubmed ID | |
| Authors |
Yu-Chun Chen, Yi-Hsuan Lin, Sindy Hu, Hsing-Yu Chen |
| Abstract |
Atopic dermatitis among children is an important issue due to relapses and skin manifestations. Traditional Chinese medicine (TCM) is commonly used to treat children with atopic dermatitis. The aim of this study was to investigate the characteristics and TCM prescriptions of patients with atopic dermatitis using a nationwide database. Children younger than 12 years of age diagnosed with atopic dermatitis, defined as ICD-9-CM codes 691.8 and 692.x, were identified from the database. Data on age, diagnosis codes, area of residence and use of corticosteroids of the TCM users were recorded. Association rule mining was used to analyze the prescriptions used for atopic dermatitis. We identified 13,646 children with atopic dermatitis using TCM in 2007. Female gender (OR: 0.83 for male gender), adolescence (OR: 10.0, 95 % CI: 8.88-11.15) and allergic rhinitis (OR: 2.44, 95 % CI: 2.10-2.85) were associated with the use of TCM. Fewer of the TCM users were prescribed with corticosteroids (35.8 % of all TCM users), but the TCM users had a higher rate of long-term topical corticosteroid therapy (10.6 % for TCM users versus 2.0 % for those who did not use TCM). Chinese herbal medicine (CHM) was used by 93.7 % of all TCM users in 36,398 prescriptions. On average, 5.6 kinds of CHM were used in combination. The relationship between the CHMs constituted a network, in which Xiao-Feng-San was the core treatment for atopic dermatitis. In this study, we described the characteristics of children with atopic dermatitis who use TCM in Taiwan. and identified the core CHM treatment. Further research on the safety and efficacy of this treatment are still needed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 15% |
| Student > Bachelor | 7 | 12% |
| Student > Postgraduate | 6 | 10% |
| Librarian | 3 | 5% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Other | 14 | 24% |
| Unknown | 17 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 32% |
| Nursing and Health Professions | 6 | 10% |
| Agricultural and Biological Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 16 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 June 2016.
All research outputs
#18,462,696
of 22,876,619 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,518
of 3,637 outputs
Outputs of similar age
#256,149
of 340,472 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#52
of 78 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,637 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.